Everything about Cyclostationary process
Signal with properties that vary cyclically with time
A cyclostationary process is a signal having statistical properties that vary cyclically with time. A cyclostationary process can be viewed as multiple interleaved stationary processes. For example, the maximum daily temperature in New York City can be modeled as a cyclostationary process: the maximum temperature on July 21 is statistically different from the temperature on December 20; however, it is a reasonable approximation that the temperature on December 20 of different years has identical statistics. Thus, we can view the random process composed of daily maximum temperatures as 365 interleaved stationary processes, each of which takes on a new value once per year. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Cyclostationary processA 5-minute orientation
- Skim a recent paper: LPI waveform design for radar system against cyclostationary analysis intercept processingInfluential work since 2022
- Pick up a classic book: Generalizations Of Cyclostationary Signal Processing Spectral Analysis And ApplicationsThe most-reprinted book on the subject
- Read the landmark paper: Characterization of cyclostationary random signal processesCited 365 times
- Go sideways: Bilinear time–frequency distributionA closely related topic
- Go sideways: Wiener–Khinchin theoremA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🏆 Landmark papers (most cited)
Characterization of cyclostationary random signal processes
EOFs of Harmonizable Cyclostationary Processes
Blind separation of convolved cyclostationary processes
A comparative example of cyclostationary description of a non-stationary random process
Extreme values of the cyclostationary Gaussian random process
Rice's Representation for Cyclostationary Processes
Cyclostationary Processes With Evolving Periods and Amplitudes
Modeling the Electrocardiogram as Oscillatory Almost-Cyclostationary Process
🆕 Influential since 2022
LPI waveform design for radar system against cyclostationary analysis intercept processing
Multivariate cyclostationary deep deconvolution (MCDD): An intelligent multivariate signal processing algorithm
Chirp cyclic moment for chirp cyclostationary processes: Definitions and estimators
Statistical Analysis of the 2th-Order Chirp Cyclostationary Processes
Linear-inverse-modeling approach to estimating Liang-Kleeman information flow in a cyclostationary process under memoryless and persistent noise
📚 Books worth reading
Generalizations Of Cyclostationary Signal Processing Spectral Analysis And ApplicationsAntonio Napolitano · 2012
Cyclostationarity : Theory and MethodsFakher Chaari, Jacek Leśkow · 2014
Cyclostationarity in communications and signal processingWilliam A. Gardner · 1994
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
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